Hi Joe, The easiest option will be to combine all 6 datasets (at least the variables you want to use in your scatter plot), and then create another variable that indicates to which group the observations belong. Here is a small example of what you might do once your data are all together (obviously replace "mtcars" with your dataset name and the variables with your variables):
with(mtcars, plot(x = hp, y = mpg, pch = carb)) I am also fond using the ggplot2 package for graphs. require(ggplot2) ggplot(mtcars, aes(x = hp, y = mpg, shape = factor(carb))) + geom_point() Cheers, Josh On Thu, Mar 3, 2011 at 12:03 PM, Jorseff <jcp...@york.ac.uk> wrote: > Hi, I have multiple (6) data sets which I would like to plot together on one > scatter graph. The reason they are all separate is that I require a > different symbol to be plotted for each set. Could somebody advise on how to > do this? > > Many thanks, > > Joe > > -- > View this message in context: > http://r.789695.n4.nabble.com/Scatter-plot-with-multiple-data-sets-tp3334096p3334096.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.com/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
